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Export from PostgreSQL to Google Cloud Storage

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery PostgreSQL plugin allows you to sync data from PostgreSQL to any destination, including Google Cloud Storage. It takes only minutes to get started.

postgresql
Official
Premium

PostgreSQL

The CloudQuery PostgreSQL plugin syncs your PostgreSQL database to any of the supported CloudQuery destinations

Publisher

cloudquery

Latest version

v6.0.4

Type

Source

Platforms
Date Published

gcs
Official

Google Cloud Storage

This destination plugin lets you sync data from a CloudQuery source to remote GCS (Google Cloud Storage) storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.0.2

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

cloudquery login

Step 3. Configure PostgreSQL source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  name: "postgresql"
  registry: "cloudquery"
  path: "cloudquery/postgresql"
  version: "v6.0.4"
  tables: ["*"]
  destinations: ["gcs"]
  spec:
    connection_string: "${POSTGRESQL_CONNECTION_STRING}" # set the environment variable in a format like postgres://postgres:pass@localhost:5432/postgres?sslmode=disable
    # Optional parameters:
    # cdc_id: "postgresql" # Set to a unique string per source to enable Change Data Capture mode (logical replication, or CDC)
    # pgx_log_level: error
    # rows_per_record: 500

Step 4. Configure Google Cloud Storage destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "gcs"
  path: "cloudquery/gcs"
  registry: "cloudquery"
  version: "v5.0.2"
  write_mode: "append"
  spec:
    bucket: "bucket_name"
    path: "path/to/files/{{TABLE}}/{{UUID}}.{{FORMAT}}"
    format: "parquet" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # batch_size: 10000
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s

Step 5. Run Sync

cloudquery sync postgresql.yml gcs.yml
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